



'''simple docstring'''






import os
from typing import List, Optional, Union

from ...tokenization_utils import PreTrainedTokenizer
from ...tokenization_utils_base import AddedToken
from ...utils import logging


lowerCAmelCase:   Tuple					=		logging.get_logger(__name__)

lowerCAmelCase:   Any					=		{'vocab_file': 'vocab.txt'}

lowerCAmelCase:   List[Any]					=		{
    'vocab_file': {
        'facebook/esm2_t6_8M_UR50D': 'https://huggingface.co/facebook/esm2_t6_8M_UR50D/resolve/main/vocab.txt',
        'facebook/esm2_t12_35M_UR50D': 'https://huggingface.co/facebook/esm2_t12_35M_UR50D/resolve/main/vocab.txt',
    },
}

lowerCAmelCase:   str					=		{
    'facebook/esm2_t6_8M_UR50D': 1_0_2_4,
    'facebook/esm2_t12_35M_UR50D': 1_0_2_4,
}
def  lowerCamelCase__			(		_A							):
  with open(_A					,     'r'							) as f:
    a		:   Union[str, Any]	  =	f.read().splitlines()
    return [l.strip() for l in lines]

class 				a__(   lowerCamelCase__      ):
    lowercase__					=       VOCAB_FILES_NAMES
    lowercase__					=       PRETRAINED_VOCAB_FILES_MAP
    lowercase__					=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    lowercase__					=       ["""input_ids""", """attention_mask"""]







    def __init__( self					:    Optional[Any]		,     __snake_case					:    Any		,     __snake_case					:    Any="<unk>"		,     __snake_case					:    Any="<cls>"		,     __snake_case					:    Union[str, Any]="<pad>"		,     __snake_case					:    Optional[Any]="<mask>"		,     __snake_case					:    Optional[int]="<eos>"		,     **__snake_case					:    Any		,     ):
      super().__init__(**__snake_case      )
      a		:   Union[str, Any]	  =	load_vocab_file(__snake_case      )
      a		:   int	  =	dict(enumerate(self.all_tokens      )      )
      a		:   Optional[int]	  =	{tok: ind for ind, tok in enumerate(self.all_tokens      )}
      a		:   Any	  =	unk_token
      a		:   Union[str, Any]	  =	cls_token
      a		:   Any	  =	pad_token
      a		:   Tuple	  =	mask_token
      a		:   Tuple	  =	eos_token
      a		:   Optional[int]	  =	self.all_tokens
      self._create_trie(self.unique_no_split_tokens      )







    def      lowercase_			( self					:    Optional[int]		,     __snake_case					:    int      ):
      return self._id_to_token.get(__snake_case		,     self.unk_token      )







    def      lowercase_			( self					:    Union[str, Any]		,     __snake_case					:    str      ):
      return self._token_to_id.get(__snake_case		,     self._token_to_id.get(self.unk_token      )      )







    def      lowercase_			( self					:    Dict		,     __snake_case					:    List[str]		,     **__snake_case					:    List[Any]      ):
      return text.split()







    def      lowercase_			( self					:    Optional[int]		,     __snake_case					:    Union[str, Any]=False      ):
      return len(self._id_to_token      )







    def      lowercase_			( self					:    str      ):
      return {token: i for i, token in enumerate(self.all_tokens      )}







    def      lowercase_			( self					:    Optional[int]		,     __snake_case					:    str      ):
      return self._token_to_id.get(__snake_case		,     self._token_to_id.get(self.unk_token      )      )







    def      lowercase_			( self					:    List[str]		,     __snake_case					:    int      ):
      return self._id_to_token.get(__snake_case		,     self.unk_token      )







    def      lowercase_			( self					:    Any		,     __snake_case					:    List[int]		,     __snake_case					:    Optional[List[int]] = None      ):
      a		:   Dict	  =	[self.cls_token_id]
      a		:   Dict	  =	[self.eos_token_id]  # No sep token in ESM vocabulary
      if token_ids_a is None:
        if self.eos_token_id is None:
          return cls + token_ids_a
        else:
          return cls + token_ids_a + sep
      elif self.eos_token_id is None:
        raise ValueError('Cannot tokenize multiple sequences when EOS token is not set!'      )
      return cls + token_ids_a + sep + token_ids_a + sep  # Multiple inputs always have an EOS token







    def      lowercase_			( self					:    Any		,     __snake_case					:    List		,     __snake_case					:    Optional[List] = None		,     __snake_case					:    bool = False      ):
      if already_has_special_tokens:
        if token_ids_a is not None:
          raise ValueError(
              'You should not supply a second sequence if the provided sequence of '
              'ids is already formatted with special tokens for the model.'      )

        return [1 if token in self.all_special_ids else 0 for token in token_ids_a]
      a		:   List[str]	  =	[1] + ([0] * len(__snake_case      )) + [1]
      if token_ids_a is not None:
        mask += [0] * len(__snake_case      ) + [1]
      return mask







    def      lowercase_			( self					:    Dict		,     __snake_case					:    List[str]		,     __snake_case					:    Tuple      ):
      a		:   Optional[int]	  =	os.path.join(__snake_case		,     (filename_prefix + '-' if filename_prefix else '') + 'vocab.txt'      )
      with open(__snake_case		,     'w'      ) as f:
        f.write('\n'.join(self.all_tokens      )      )
      return (vocab_file,)







    @property
    def      lowercase_			( self					:    Union[str, Any]      ):
      return self.get_vocab_size(with_added_tokens=__snake_case      )







    def      lowercase_			( self					:    Tuple		,     __snake_case					:    Union[List[str], List[AddedToken]]		,     __snake_case					:    bool = False      ):
      return super()._add_tokens(__snake_case		,     special_tokens=__snake_case      )




'''simple docstring'''






from __future__ import annotations
def  lowerCamelCase__			(		_A					,     _A					,     _A							):
  a		:   List[str]	  =	list(range(len(_A							)							)							)
  a		:   Union[str, Any]	  =	[v / w for v, w in zip(_A					,     _A							)]
  index.sort(key=lambda _A							: ratio[i]					,     reverse=_A							)

  a		:   float	  =	0
  a		:   list[float]	  =	[0] * len(_A							)
  for i in index:
    if weight[i] <= capacity:
      a		:   int	  =	1
      max_value += value[i]
      capacity -= weight[i]
    else:
      a		:   Optional[int]	  =	capacity / weight[i]
      max_value += value[i] * capacity / weight[i]
      break

  return max_value, fractions


if __name__ == "__main__":
     import doctest

     doctest.testmod()